Chin Pang Ho - RankMe

38 papers A* 13A 3B 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Algorithms for Robust Markov Decision Processes with CoRR Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2025	J	`jnl`	Distributionally Robust Federated Learning: An ADMM Algorithm. CoRR Wen Bai, Yi Wong, Xiao Qiao, Chin Pang Ho
2025	A	`conf`	Learning Distributed End-to-End Hunting Locomotion for Multiple Quadruped Robots. IROS Chung Yui Yeung, Shing Ming Wong, Wai Nam Tung, Shaohang Xu, Chin Pang Ho
2025	A*	`conf`	Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity. ICML Qiuhao Wang, Yuqi Zha, Chin Pang Ho, Marek Petrik
2024	J	`jnl`	A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity. Oper. Res. Shubhechyya Ghosal, Chin Pang Ho, Wolfram Wiesemann
2024	A*	`conf`	Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor. ICRA Shaohang Xu, Haolin Ruan, Wentao Zhang, Yian Wang, Lijun Zhu, Chin Pang Ho
2024	A*	`conf`	Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load. ICRA Shaohang Xu, Yian Wang, Wentao Zhang, Chin Pang Ho, Lijun Zhu
2024	A*	`conf`	Optimal Prescribed-Time Control based Reactive Planning System for Quadruped Robot Navigation. ICRA Shaohang Xu, Wentao Zhang, Chin Pang Ho, Lijun Zhu
2024	J	`jnl`	Policy Gradient for Robust Markov Decision Processes. CoRR Qiuhao Wang, Shaohang Xu, Chin Pang Ho, Marek Petrik
2023	J	`jnl`	Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets. INFORMS J. Comput. Haolin Ruan, Zhi Chen, Chin Pang Ho
2023	A*	`conf`	Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots. ICRA Shaohang Xu, Wentao Zhang, Lijun Zhu, Chin Pang Ho
2023	A*	`conf`	Fast Bellman Updates for Wasserstein Distributionally Robust MDPs. NeurIPS Zhuodong Yu, Ling Dai, Shaohang Xu, Siyang Gao, Chin Pang Ho
2023	A*	`conf`	Improving the Knowledge Gradient Algorithm. NeurIPS Le Yang, Siyang Gao, Chin Pang Ho
2023	A*	`conf`	Policy Gradient in Robust MDPs with Global Convergence Guarantee. ICML Qiuhao Wang, Chin Pang Ho, Marek Petrik
2023	A	`conf`	Reinforced EM Algorithm for Clustering with Gaussian Mixture Models. SDM Joshua Tobin, Chin Pang Ho, Mimi Zhang
2023	J	`jnl`	Risk-Averse MDPs under Reward Ambiguity. CoRR Haolin Ruan, Zhi Chen, Chin Pang Ho
2023	J	`jnl`	Robust Convex Model Predictive Control for Quadruped Locomotion Under Uncertainties. IEEE Trans. Robotics Shaohang Xu, Lijun Zhu, Hai-Tao Zhang, Chin Pang Ho
2023	A*	`conf`	Robust Satisficing MDPs. ICML Haolin Ruan, Siyu Zhou, Zhi Chen, Chin Pang Ho
2023	J	`jnl`	Wasserstein Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor. CoRR Shaohang Xu, Haolin Ruan, Wentao Zhang, Yian Wang, Lijun Zhu, Chin Pang Ho
2022	A*	`conf`	Learning Efficient and Robust Multi-Modal Quadruped Locomotion: A Hierarchical Approach. ICRA Shaohang Xu, Lijun Zhu, Chin Pang Ho
2022	J	`jnl`	Newton-type multilevel optimization method. Optim. Methods Softw. Chin Pang Ho, Michal Kocvara, Panos Parpas
2022	J	`jnl`	On the Convergence of Policy Gradient in Robust MDPs. CoRR Qiuhao Wang, Chin Pang Ho, Marek Petrik
2022	A*	`conf`	Robust $\phi$-Divergence MDPs. NeurIPS Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2022	J	`jnl`	Robust Phi-Divergence MDPs. CoRR Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2021	A*	`conf`	Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs. NeurIPS Bahram Behzadian, Marek Petrik, Chin Pang Ho
2021	A	`conf`	Optimizing Percentile Criterion using Robust MDPs. AISTATS Bahram Behzadian, Reazul Hasan Russel, Marek Petrik, Chin Pang Ho
2021	J	`jnl`	Partial Policy Iteration for L1-Robust Markov Decision Processes. J. Mach. Learn. Res. Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2020	J	`jnl`	Partial Policy Iteration for L1-Robust Markov Decision Processes. CoRR Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2019	J	`jnl`	Empirical risk minimization: probabilistic complexity and stepsize strategy. Comput. Optim. Appl. Chin Pang Ho, Panos Parpas
2018	A*	`conf`	Fast Bellman Updates for Robust MDPs. ICML Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2018	J	`jnl`	Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model. CoRR Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde, Navtej Chahal, Roxy Senior, Meng-Xing Tang
2018	J	`jnl`	Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model. IEEE Trans. Medical Imaging Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde, Navtej Chahal, Roxy Senior, Meng-Xing Tang
2018	J	`jnl`	Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. CoRR Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang
2016	—	`conf`	Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. MICCAI (3) Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang
2015	—	`conf`	Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. MICCAI (1) Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert
2015	—	`conf`	On Using Spectral Graph Theory to Infer the Structure of Multiscale Markov Processes. SIAM Conf. on Control and its Applications Chin Pang Ho, Panos Parpas
2014	J	`jnl`	Singularly Perturbed Markov Decision Processes: A Multiresolution Algorithm. SIAM J. Control. Optim. Chin Pang Ho, Panos Parpas
2014	B	`conf`	Understanding, modelling, and improving the performance of web applications in multicore virtualised environments. ICPE Xi Chen, Chin Pang Ho, Rasha Osman, Peter G. Harrison, William J. Knottenbelt